johnpelz @johnpelz1
Field Engineering @ Databricks. Technologist / PreSales. Mountain enthusiast & unfortunate Chicago sports fan Park City, UT Joined May 2021-
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Databricks Asset Bundles (DABs) is now GA! Streamline data, analytics, & AI project development on Databricks using software development best practices. Explore now and transform your projects. #buildonDatabricks #DABS sprou.tt/1mIxBM32n8c
Databricks unveiled a new language model aimed at helping other companies build & train their own AI agents. Called DBRX, the model will allow businesses to create custom artificial intelligence based on their own proprietary data. sprou.tt/1WANMiHNakA
At Databricks, we've built an awesome model training and tuning stack. We now used it to release DBRX, the best open source LLM on standard benchmarks to date, exceeding GPT-3.5 while running 2x faster than Llama-70B. databricks.com/blog/introduci…
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since…
Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models! @DbrxMosaicAI designed DBRX to be easily customizable so enterprises can improve the quality of their GenAI apps. Leverage for RAG or to build a custom LLM. sprou.tt/1DalYuLjepG
⚡️⚡️ The Databricks streaming team just benchmarked a *3-4x* performance improvement of Spark Structured Streaming stateful pipelines! To see how, read this 2-part blog by Mojgan Mazouchi, Mrityunjay Kumar, Anish Shrigondekar & Karthikeyan Ramasamy: sprou.tt/1a1caYhAkAw
Introducing the industry’s first Generative AI learning pathway & certification! These self-paced and instructor-led courses will provide practitioners with the resources to be successful with #GenAI. Get the details ⬇️ sprou.tt/1RwI6HIRMnw
We’ve made some major updates to Model Serving! These include a unified interface for managing & querying all models in one place, plus new Foundation Model APIs for instant access to popular LLMs. sprou.tt/16qdUb7utMZ
DONDA is the new FAANG Deepmind Open AI Nvidia Databricks Anthropic
2 engineers, 1 month, less than $1,000 That’s what it took to build a bespoke #LLM for AI-generated documentation in #UnityCatalog. See how this hackathon project built on off-the-shelf SaaS-based LLMs became a well-loved UC feature!👇 sprou.tt/1ktCYFl5bs0
Meet the Data Intelligence Platform, a new AI-based data platform & fundamental shift in product strategy + roadmap. Democratize insights with natural language, build AI with your data – all with the best governance. Our CEO @alighodsi shares more! sprou.tt/1m1R625g3Fc
The Big Book of MLOps has been updated updated to support the new role of #GenerativeAI in the enterprise Discover the latest updates in the world of #GenAI & @databricks AI, including discussions on governance, design decisions, LLMOps for LLMs, & more sprou.tt/1B2KNfFdGDb
Huge congrats to the Texas Rangers on an incredible World Series win! The Rangers are constantly finding new ways to leverage data and AI in its differentiated strategy. Hint: the Lakehouse is at the center of it. sprou.tt/1EJFXibuqcY
👋 Meet Inference Tables - your new ally in effortless #AI model monitoring and diagnostics! Easily monitor, debug, and optimize AI models for consistent business success. See how👇 sprou.tt/1uXM8XLsloY
Hear from industry leaders on @databricks Marketplace - the first open-source approach to data sharing across data, analytics & AI. This panel has a great line-up of experts who will share how #DatabricksMarketplace helps you evaluate data products faster! sprou.tt/1Lq1pybu0QH
Thrilled that @databricks has been named #2 on the 2023 @Forbes #Cloud100 : a list of the world’s best private cloud companies! One key trend? “This year, AI is everywhere.” Check out this great read on the impact of the cloud on AI 👇 sprou.tt/1dsCUiFA6sI
How did an unplanned partnership turn into one of the most game-changing moves in AI? @FortuneMagazine explains in this new piece on @databricks' acquisition of @MosaicML. sprou.tt/1z3UqXzdVPJ
.@databricks & @techreview teamed up to survey 600+ global CIOs & learn how leading organizations are adopting #GenerativeAI. Get in-depth insights from execs at @DuPont_News, @Shell, @Adobe, professors from @MIT & @UCBerkeley & more. Download now👇 sprou.tt/1RY8EzddM0f
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Probably the thing I’m most excited about with DBRX, it’s super fast! Easily 150 tokens/s for quality comparable to much slower closed models.
Okay @databricks what're you cooking behind this space its so fast lmao
What goes into building the most powerful open source LLM yet? @DbrxMosaicAI gives a glimpse into how they created #DBRX – from GPU decisions to benchmarking. Great read from @willknight @WIRED that shows why open source is critical for enterprise GenAI. dbricks.co/4cBQ1ub
If it wasn’t clear why we joined @DbrxMosaicAI 👇 Models aren’t a moat, but all the compounding infrastructure & tooling around it is 🚀🚀
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
At Databricks, we've built an awesome model training and tuning stack. We now used it to release DBRX, the best open source LLM on standard benchmarks to date, exceeding GPT-3.5 while running 2x faster than Llama-70B. databricks.com/blog/introduci…
#DBRX sets a new standard for efficient open source LLMs. While it has 132B total parameters, with its fine-grained MoE architecture, DBRX only uses 36B at any given time. Learn more about how we built #DBRX & benchmarked its performance. dbricks.co/3J13hed
Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications. dbricks.co/43xaCMj
It takes a village. These are the powers available to our customers!
One advantage we had: @databricks. We joined forces with Databricks last summer and quickly learned why it's such a valuable company: the tools are amazing. We used everything. @ApacheSpark, Notebooks, Unity Catalog, @MLflow, @lilac_ai. We're so glad we did. We go way faster now.
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications. dbricks.co/43xaCMj
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since…
DONDA is the new FAANG Deepmind Open AI Nvidia Databricks Anthropic
“I do think #AI is going to change everything, and I think it’s going to be mostly positive.” Our CEO @alighodsi was named to @FortuneMagazine's Top 13 AI Innovators list! Check out his perspective on the power of open source + #AI ⬇️ bit.ly/3CxCG5v
We don’t need Jedi mind tricks to convince you that the #Lakehouse is superior 😉 #MaytheFourthBeWithYou
Agree on quality moats, as well as data moats! The companies who successfully turn their proprietary data into AI applications will do well.
This article, on the lack of an AI moat at Google and OpenAI has been making the rounds: semianalysis.com/p/google-we-ha… While it's true that that there is exciting, fast-paced opensource activity in AI, and we may see many current LLMs commoditize, there are still *quality moats*
Stunning @BigCodeProject! A trillion tokens in 80 languages, huge context window, and step function improvement in quality. 38% improvement on HumanEval Pass@1 vs Replit's replit-code-v1-3b. Nearly doubles the performance of models in the Salesforce Codegen family.
Introducing: 💫StarCoder StarCoder is a 15B LLM for code with 8k context and trained only on permissive data in 80+ programming languages. It can be prompted to reach 40% pass@1 on HumanEval and act as a Tech Assistant. Try it here: shorturl.at/cYZ06r Release thread🧵
Awesome to see Oracle adopt #DeltaSharing (from @DeltaLakeOSS)! This means you can share data between Oracle, Databricks, Apache Spark, pandas, PowerBI, Excel and any system that supports the open protocol. Open makes sense for a sharing solution. infoworld.com/article/369521…
Excited to launch the first two #LLM MOOC courses with @edXOnline. Learn about prompt engineering, vector embeddings, retrieval, chains, and MLOps. Learn how to create your own LLM from scratch on a data lakehouse! databricks.com/blog/enroll-ou…
We're launching two comprehensive online courses on building and using Large Language Models! The first is on using LLMs in applications, covering topics like prompt engineering, embeddings, chains, and MLOps. The second teaches you to build your own LLMs. databricks.com/blog/enroll-ou…
Love this integration between @huggingface and @databricks. Concretely, you will be able to train your own LLM from using Spark and Transformer/Dataset with this tight integration: databricks.com/blog/contribut…
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